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33 Cards in this Set
- Front
- Back
What is the standard language used to access and manipulate data in relational database management systems (RDBMS)?
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SQL
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What is the acronym for Structured Query Language?
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SQL |
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The relational database concept was first developed by
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E. Codd at IBM Research in a classic paper in 1970. |
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Who was the first to market relational database incorporating SQL?
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Oracle |
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What happened in 1986 for SQL
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American National Standards Institute (ANSI) approved a standard for the SQL relational query language. |
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How many standard SQL updates have been released since 1986
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4 in '89, '92, '99, '03 |
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Which vendors support SQL?
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Most vendors use SQL; Oracle, IBM, Microsoft |
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What are the three types of SQL commands?
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Data Definition Language (DDL) Data Manipulation Language (DML) Data Control Language (DCL) |
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Data Definition Language (DDL)
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DDL commands are used to define a database, such as creating, altering, and dropping tables and establishing constraints. |
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Data Manipulation Language (DML)
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DML commands are used to maintain and query a database, such as updating, inserting, modifying and querying the data in a database. DML commands are the core commands of SQL. |
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Data Control Language (DCL)
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DCL commands are used to control a database, such as granting or revoking privileges to access the database or objects, storing or removing transactions that would affect the database. |
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Which two of the SQL command types will we use in this class?
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DDL and DML |
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Which SQL command type are the core commands?
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DML |
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What was SQL's first name?
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System R then sequel then SQL |
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What type of SQL commands do creating, altering, and dropping?
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Data Definition Language (DDL) |
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What type of SQL commands do updating, inserting, modifying, and querying data?
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Data Manipulation Language (DML) |
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Data Integrity
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Data that is accurate, up-to-date, and protected against unauthorized access. |
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Data Accessibility
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Data is readily available only to people with permission who have a need to see and use the data. |
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Two types of data found in businesses
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Structured and Unstructured |
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Structured Data
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Data that can be put into a Relational Database.
More specifically it is data found in a table like what we have been using in class (RDBMS) with Rows/Record and Columns/Fields. Fields contain specific types of data and Records identify specific individual entities. Information can be accessed rapidly by going to the correct row and column. |
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Unstructured Data
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Data that cannot be put into a relational database such as documents like letters, memorandums, and reports. |
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Document Management Systems
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*improve the storage, maintenance, and management of documents.
*control access to documents
*Keep track of document versions
*find documents using keywords
*supports collaborative work on documents
*controls dissemination of documents
Example: SharePoint |
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Relational Database Concept
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Data is organized into one or more two dimensional tables in which each table contains the data relating to a specific type of entity. |
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Entity
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a noun that has an independent, separate, or self-contained existence.
Example: A student, an employee, a room, a computer, a class, etc.
I think of entities as tables, but that is probably not exactly correct. |
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Attributes
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a characteristic of an entity
Example: first name, last name, email address, shoe size, major, minor, employee id, etc. |
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Three Step process to create a database
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1. Identify the entities needed 2. Identify the attributes needed for each entity 3. Identify the relationships that exist among the entities. |
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One-to-many relationship
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Example: a building has many rooms but there is only one building |
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Parent- Child relationship
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When the identification of one entity relies on the identification of another entity
Example: Room entity depends on the building entity. You cannot say where the room is without identifying the building. |
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Data
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*Facts concerning objects and events that could be recorded and stored on computer media.
Example: student name, address, telephone number |
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Information
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* Data that has been processed in such a way that the knowledge of the person who uses the data is increased.
* Data that has meaning |
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Metadata
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data that describe the properties or characteristics of end-user data and the context of the data.
Example: Properties - data name, definitions, length, allowable values, ect. Context - data source, where the data are stored, ownership, usage, ect. |
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Database
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an organized collection of logically related data usually found in tables. |
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Relational Database
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a database where the data is organized into one or more two dimensional tables in which each table contains the data relating to a specific type of entity. |